Results Summary: Rodriguez Augmentation Methods

1 LASSO - Pseudo-count \(1/2\)

1.1 Interactive Summary Table

Use the controls to explore how Rodriguez augmentation strategies compare with their benchmarks in terms of the mean performance metric. You can choose among three performance metrics and four augmentation factors. Results are shown for experiments using data with a pseudo-count of \(\mathbf{1/2}\).

Performance metric

Augmentation factor

1.2 Boxplots of performance metrics

1.2.1 ROC AUC

k = 2

k = 3

k = 4

k = 5

1.3 Missclasification Rate

k = 2

k = 3

k = 4

k = 5

1.3.1 Brier Score

k = 2

k = 3

k = 4

k = 5

1.4 ROC Curve

k = 1

k = 2

k = 3

k = 4

k = 5

k = 6

k = 7

k = 8

k = 9

k = 10

k = 11

k = 12

2 RF - Pseudo-count \(1/2\)

TODO: why summary for RF is not rendering????

Performance metric

Augmentation factor